TWI790414B - Feature recognition method and system for human body - Google Patents
Feature recognition method and system for human body Download PDFInfo
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Abstract
一種用於人體之特徵辨識方法及其系統,能夠於一輸入圖片或是影片中,進行辨識出一特徵目標及一人體輪廓出來、並對所辨識出的人體輪廓進行區分成數個身體部位區域,之後先定義出該特徵目標的座標與該人體輪廓內之身體部位區域的座標,再將該特徵物座標與該人體身體部位區域的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓的任一或任多身體部位區域內。 A feature recognition method and system for human body, capable of identifying a feature target and a human body contour in an input picture or video, and distinguishing the recognized human body contour into several body parts regions, Then first define the coordinates of the feature target and the coordinates of the body part area in the human body contour, and then match the feature coordinates with the coordinates of the human body part area to determine whether the feature target is located in the body contour within any or multiple body part regions.
Description
本發明是有關一種用於人體之特徵辨識方法及其系統,特別是一種能夠判斷出特徵物是否位於該人體的任一或任多身體部位區域內的特徵辨識方法及其系統。 The present invention relates to a feature recognition method and system for human body, especially a feature recognition method and system capable of judging whether a feature is located in any or any multiple body parts of the human body.
目前常見的影像辨識,大多是針對某一特定區域進行辨識(例如面部辨識),但針對某些特殊需求,則需要對畫面上的人與物來進行辨識,然而大多辨識方式僅是將目標物進行標註與框選,但若是進一步更細微辨識人體上的特徵物與所在位置來講,是非常困難的。 At present, the common image recognition is mostly for the recognition of a specific area (such as facial recognition), but for some special needs, it is necessary to recognize the people and objects on the screen, but most of the recognition methods are only the target object Marking and frame selection, but it is very difficult to further identify the features and locations on the human body in a more subtle way.
以意外產生的燒傷傷口或是燙傷傷口來講,一般都是醫護人員在進行傷口照護的時候,往往是透過肉眼觀察,並透過文字記錄並描述傷口狀況,然而透過肉眼辨識傷口,極有可能因為不同的醫護人員,而有誤判的疑慮,故若是能夠搭配本案的辨識方法與系統,除了能夠準確紀錄身體上特徵物的位置之外,更能夠讓醫護人員能夠遠端了解傷患的狀態,因此本發明應為一最佳解決方案。 In terms of accidental burn wounds or scald wounds, when medical staff take care of the wound, they often observe with the naked eye, and record and describe the wound condition through text. However, identifying the wound with the naked eye is very likely because Different medical staff have doubts about misjudgment. Therefore, if the identification method and system of this case can be used, in addition to accurately recording the position of physical features, it will also allow medical staff to remotely understand the status of the injured patient. Therefore, The present invention should be an optimal solution.
本發明用於人體之特徵辨識方法及其系統,其步驟為: (1)於一輸入圖片或是影片中,進行辨識出一特徵目標及一人體輪廓出來、並對所辨識出的人體輪廓進行區分成數個身體部位區域;(2)定義出該特徵目標的座標與該人體輪廓內之身體部位區域的座標;(3)將該特徵目標的座標與該人體身體部位區域的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓的任一或任多身體部位區域內。 The present invention is used in the feature recognition method and system of the human body, the steps of which are as follows: (1) In an input picture or video, identify a characteristic target and a human body contour, and divide the recognized human body contour into several body parts regions; (2) define the coordinates of the characteristic target and the coordinates of the body part area within the human body outline; (3) match the coordinates of the feature target with the coordinates of the body part area of the human body to determine whether the feature target is located in any or any body parts of the human body outline within the site area.
更具體的說,所述能夠以數個人體座標點來分佈於人體輪廓內,而該人體輪廓內之身體部位區域係以數個人體座標點所形成的範圍區域來區分。 More specifically, several human body coordinate points can be used to distribute in the human body contour, and the body part area in the human body contour is distinguished by the area formed by the several human body coordinate points.
更具體的說,所述能夠找出該特徵目標的中心點,並將該中心點的座標與分佈於人體輪廓內的人體座標點進行匹配,以找出與該中心點位置相同座標的人體座標點或是最接近該中心點位置的人體座標點,並依據匹配所屬的範圍區域來判斷出該特徵目標是否位於哪一個或哪多個的身體部位區域內。 More specifically, the center point of the characteristic target can be found out, and the coordinates of the center point are matched with the human body coordinate points distributed in the outline of the human body to find out the human body coordinates with the same coordinates as the center point. point or the human body coordinate point closest to the center point, and judge whether the characteristic target is located in which one or which multiple body part regions according to the range area to which the matching belongs.
更具體的說,所述能夠依據該中心點與該人體座標點之間的距離,進行排序出該中心點與不同人體座標點的遠近順序,並依據排序結果與不同人體座標點所屬的範圍區域,進行提供該特徵目標位於不同身體區域的可能性判斷資訊。 More specifically, according to the distance between the center point and the human body coordinate point, the order of distance between the center point and different human body coordinate points can be sorted out, and according to the sorting result and the range area to which the different human body coordinate points belong , to provide the possibility judgment information that the feature target is located in different body regions.
更具體的說,所述能夠找出該特徵目標形狀的特徵物座標範圍,並將分佈於該人體輪廓內的人體座標點與該特徵物座標範圍進行匹配,以找出哪幾個人體座標點是否位於該特徵物座標範圍內,並依據該特徵物座標範圍內的人體座標點數量與所屬的範圍區域,來判斷哪一個或哪幾個的身體部位區域內具有該特徵目標。 More specifically, the feature coordinate range of the feature target shape can be found, and the human body coordinate points distributed in the human body contour are matched with the feature coordinate range to find out which human body coordinate points Whether it is within the coordinate range of the feature, and according to the number of coordinate points of the human body within the coordinate range of the feature and the range area to which it belongs, determine which one or several body part areas have the feature target.
更具體的說,所述能夠依據分佈於該特徵物座標範圍內之某一個 範圍區域內的最多人體座標點數量,進行判斷哪一個身體部位區域內具有該特徵目標。 More specifically, the said can be based on a certain one distributed within the coordinate range of the feature The maximum number of human body coordinate points in the range area is used to judge which body part area has the characteristic target.
更具體的說,所述能夠依據分佈於該特徵物座標範圍內之人體座標點數量與所屬的範圍區域,進行篩選出不同範圍區域於特徵物座標範圍內的分佈大小,並依據篩選結果,進行判斷出該特徵目標位於不同身體部位區域的分佈關係與提供該特徵目標位於不同身體區域的可能性判斷資訊。 More specifically, according to the number of human body coordinate points distributed within the coordinate range of the feature and the range area to which it belongs, the distribution size of different range areas within the coordinate range of the feature can be screened out, and based on the screening results, the Judging the distribution relationship of the characteristic target located in different body parts and providing the possibility judgment information of the characteristic target located in different body regions.
一種用於人體之特徵辨識系統,係設置於一電子設備上,而該電子設備有至少一個處理器及至少一個電腦可讀取記錄媒體,該等電腦可讀取記錄媒體儲存有一或多個圖片檔或是影片檔,其中該電腦可讀取記錄媒體更進一步儲存有至少一個應用單元用於能夠處理特徵物的辨識,當由該等處理器執行該等應用單元時,導致該電子裝置進行下列程序:於啟動之應用單元中,能夠將輸入之圖片或是影片,進行辨識出一特徵目標及一人體輪廓,其中人體輪廓係區分成數個身體部位區域,之後定義出該特徵目標與該人體輪廓內之身體部位區域的座標,並再將該特徵物座標與該人體身體部位區域的座標進行匹配,以判斷出該特徵目標的位置是否位於該人體輪廓的任一或任多身體部位區域內。 A feature recognition system for the human body, which is set on an electronic device, and the electronic device has at least one processor and at least one computer-readable recording medium, and the computer-readable recording medium stores one or more pictures file or video file, wherein the computer-readable recording medium further stores at least one application unit capable of processing feature recognition, and when the application unit is executed by the processors, the electronic device is caused to perform the following Program: In the activated application unit, the input picture or video can be used to identify a characteristic target and a human body contour, wherein the human body contour is divided into several body parts, and then the characteristic target and the human body contour are defined and then match the feature coordinates with the coordinates of the human body part area to determine whether the position of the feature object is located in any or any body part area of the human body outline.
更具體的說,所述應用單元係包含:一輸入模組,用以輸入一個或一個以上的圖片或是影片;一物件偵測模組,係與該輸入模組相連接,用以將該輸入模組輸入之圖片或是影片進行物件偵測,以辨識出一個或多個特徵目標及其座標;一人體偵測模組,係與該輸入模組相連接,用以將該輸入模組輸入之圖片或是影片進行人體偵測,以辨識出一個或多個人體輪廓,並對所辨識出的人體輪廓進行區分成數個身體部位區域及其座標;以及一位置匹配模組,係與該物件偵測模組及該人體偵測模組相連接,用以判斷出該特徵目標是否位於該人體 輪廓的任一或任多身體部位區域內。 More specifically, the application unit includes: an input module for inputting one or more pictures or videos; an object detection module connected with the input module for the The image or video input by the input module is used for object detection to identify one or more characteristic targets and their coordinates; a human body detection module is connected with the input module to use the input module The input picture or video is used for human detection to identify one or more human body contours, and the recognized human body contours are divided into several body parts and their coordinates; and a position matching module, which is connected with the human body The object detection module is connected with the human body detection module to determine whether the characteristic target is located on the human body within any or any number of body part regions of the contour.
一種用於人體之特徵辨識方法,其步驟為:(1)於一輸入圖片或是影片中,進行辨識出一特徵目標及一人體輪廓出來;(2)定義出該特徵目標的座標與該人體輪廓內的座標;(3)將該特徵目標的座標與該人體輪廓內的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓內。 A feature recognition method for a human body, the steps of which are: (1) identify a feature target and a human body outline in an input picture or video; (2) define the coordinates of the feature target and the human body (3) matching the coordinates of the characteristic target with the coordinates in the human body contour to determine whether the characteristic target is located in the human body contour.
更具體的說,所述能夠以數個人體座標點來分佈於人體輪廓內。 More specifically, several human body coordinate points can be distributed within the contour of the human body.
更具體的說,所述能夠找出該特徵目標的中心點,並將該中心點的座標與分佈於人體輪廓內的人體座標點進行匹配,以找出與該中心點位置相同座標的人體座標點,以判斷出該特徵目標是否位於該人體輪廓內,並於延伸到多人環境時,能夠找出特徵目標是在哪一人身上。 More specifically, the center point of the characteristic target can be found out, and the coordinates of the center point are matched with the human body coordinate points distributed in the outline of the human body to find out the human body coordinates with the same coordinates as the center point. point, to determine whether the characteristic target is located in the outline of the human body, and when extending to a multi-person environment, it can find out which person the characteristic target is on.
更具體的說,所述能夠找出該特徵目標形狀的特徵物座標範圍,並將分佈於該人體輪廓內的人體座標點與該特徵物座標範圍進行匹配,以找出哪幾個人體座標點是否位於該特徵物座標範圍內,用以判斷出該特徵目標是否位於該人體輪廓內,並於延伸到多人環境時,能夠找出特徵目標是在哪一人身上。 More specifically, the feature coordinate range of the feature target shape can be found, and the human body coordinate points distributed in the human body contour are matched with the feature coordinate range to find out which human body coordinate points Whether it is within the coordinate range of the characteristic object is used to determine whether the characteristic object is located within the outline of the human body, and when extended to a multi-person environment, it can find out which person the characteristic object is on.
一種用於人體之特徵辨識系統,係設置於一電子設備上,而該電子設備有至少一個處理器及至少一個電腦可讀取記錄媒體,該等電腦可讀取記錄媒體儲存有一或多個圖片檔或是影片檔,其中該電腦可讀取記錄媒體更進一步儲存有至少一個應用單元用於能夠處理特徵物的辨識,當由該等處理器執行該等應用單元時,導致該電子裝置進行下列程序:於啟動之應用單元中,能夠將輸入之圖片或是影片,進行辨識出一特徵目標及一人體輪廓,之後定義出該特徵 目標與該人體輪廓內之座標,並再將該特徵物座標與該人體輪廓內的座標進行匹配,以判斷出該特徵目標的位置是否位於該人體輪廓內。 A feature recognition system for the human body, which is set on an electronic device, and the electronic device has at least one processor and at least one computer-readable recording medium, and the computer-readable recording medium stores one or more pictures file or video file, wherein the computer-readable recording medium further stores at least one application unit capable of processing feature recognition, and when the application unit is executed by the processors, the electronic device is caused to perform the following Program: In the activated application unit, the input picture or video can be recognized to identify a characteristic target and a human body outline, and then define the characteristic coordinates of the target and the human body contour, and then match the feature coordinates with the coordinates of the human body contour to determine whether the position of the characteristic target is within the human body contour.
更具體的說,所述應用單元係包含:一輸入模組,用以輸入一個或一個以上的圖片或是影片;一物件偵測模組,係與該輸入模組相連接,用以將該輸入模組輸入之圖片或是影片進行物件偵測,以辨識出一個或多個特徵目標及其座標;一人體偵測模組,係與該輸入模組相連接,用以將該輸入模組輸入之圖片或是影片進行人體偵測,以辨識出一個或多個人體輪廓及其座標;以及一位置匹配模組,係與該物件偵測模組及該人體偵測模組相連接,用以判斷出該特徵目標是否位於該人體輪廓內。 More specifically, the application unit includes: an input module for inputting one or more pictures or videos; an object detection module connected with the input module for the The image or video input by the input module is used for object detection to identify one or more characteristic targets and their coordinates; a human body detection module is connected with the input module to use the input module Human body detection is performed on input pictures or videos to identify one or more human body contours and their coordinates; and a position matching module is connected with the object detection module and the human body detection module for use in In order to judge whether the characteristic object is located in the contour of the human body.
1:電子設備 1: Electronic equipment
11:處理器 11: Processor
12:電腦可讀取記錄媒體 12: Computer-readable recording media
121:媒體檔儲存區 121: Media file storage area
122:應用單元 122: Application unit
1221:輸入模組 1221: input module
1222:物件偵測模組 1222: Object detection module
1223:人體偵測模組 1223:Human detection module
1224:位置匹配模組 1224: Position matching module
2:圖片 2: Picture
21:特徵目標 21: Feature Target
22:人體輪廓 22: Human silhouette
3:圖片 3: Picture
31:特徵目標 31: Feature Target
32:人體輪廓 32: Human silhouette
[第1圖]係本發明用於人體之特徵辨識方法及其系統之流程示意圖。 [Fig. 1] is a schematic flow chart of the feature recognition method and system for the human body according to the present invention.
[第2A圖]係本發明用於人體之特徵辨識方法及其系統之系統架構示意圖。 [Fig. 2A] is a schematic diagram of the system architecture of the feature recognition method and system for the human body according to the present invention.
[第2B圖]係本發明用於人體之特徵辨識方法及其系統之電子設備架構示意圖。 [Fig. 2B] is a schematic diagram of the structure of the electronic equipment used in the feature recognition method of the human body and its system according to the present invention.
[第2C圖]係本發明用於人體之特徵辨識方法及其系統之應用單元架構示意圖。 [Fig. 2C] is a schematic diagram of the application unit architecture of the feature recognition method for human body and its system according to the present invention.
[第3A圖]係本發明用於人體之特徵辨識方法及其系統之第一實施辨識示意圖。 [Fig. 3A] is a schematic diagram of the first implementation of the feature recognition method and system for the human body according to the present invention.
[第3B圖]係本發明用於人體之特徵辨識方法及其系統之第一實施辨識示意圖。 [Fig. 3B] is a schematic diagram of the first implementation of the feature recognition method and system for the human body according to the present invention.
[第3C圖]係本發明用於人體之特徵辨識方法及其系統之第一實施辨識示意圖。 [Fig. 3C] is a schematic diagram of the first implementation of the feature recognition method and system for the human body according to the present invention.
[第4A圖]係本發明用於人體之特徵辨識方法及其系統之第二實施辨識示意圖。 [Fig. 4A] is a schematic diagram of the second implementation of the feature recognition method and system for the human body according to the present invention.
[第4B圖]係本發明用於人體之特徵辨識方法及其系統之第二實施辨識示意圖。 [Figure 4B] is a schematic diagram of the second implementation of the feature recognition method and system for the human body according to the present invention.
[第4C圖]係本發明用於人體之特徵辨識方法及其系統之第二實施辨識示意圖。 [Fig. 4C] is a schematic diagram of the second implementation of the feature recognition method and system for the human body according to the present invention.
[第5圖]係本發明用於人體之特徵辨識方法及其系統之另一流程示意圖。 [Fig. 5] is another schematic flow chart of the feature recognition method and system for the human body according to the present invention.
有關於本發明其他技術內容、特點與功效,在以下配合參考圖式之較佳實施例的詳細說明中,將可清楚的呈現。 Other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of preferred embodiments with reference to the drawings.
請參閱第1圖,為本發明用於人體之特徵辨識方法及其系統之流程示意圖,由圖中可知,其步驟為:(1)於一輸入圖片或是影片中,進行辨識出一特徵目標及一人體輪廓出來、並對所辨識出的人體輪廓進行區分成數個身體部位區域101;(2)定義出該特徵目標的座標與該人體輪廓內之身體部位區域的座標102;(3)將該特徵目標的座標與該人體身體部位區域的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓的任一或任多身體部位區域內103。
Please refer to Figure 1, which is a schematic flow chart of the feature recognition method and system for the human body according to the present invention. As can be seen from the figure, the steps are: (1) Identify a feature target in an input picture or video and a human body contour, and distinguish the recognized human body contour into several
請參閱第2A、2B及2C圖,為本發明用於人體之特徵辨識方法及其系統之系統架構示意圖、電子設備架構示意圖及應用單元架構示意圖,由圖中可
知,該系統係設置於一電子設備1(電子設備係能夠為伺服器設備或是電腦設備或是整合式電腦設備)內,而該電子設備1係具有至少一個處理器11及至少一個電腦可讀取記錄媒體12,其中該等電腦可讀取記錄媒體12內係具有一媒體檔儲存區121及一應用單元122,該媒體檔儲存區121係具有一或多個圖片檔或是影片檔;
當由該等處理器11執行該應用單元122時,導致該電子裝置1進行下列程序:於啟動之應用單元122中,能夠將輸入之圖片或是影片,進行辨識出一特徵目標及一人體輪廓,其中人體輪廓係區分成數個身體部位區域,之後再定義出該特徵目標與該人體輪廓內之身體部位區域的座標,並再將該特徵物座標與該人體身體部位區域的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓的任一或任多身體部位區域內。
Please refer to Figures 2A, 2B and 2C, which are schematic diagrams of the system architecture, electronic equipment architecture, and application unit architecture of the feature recognition method for the human body and its system according to the present invention.
It is known that the system is set in an electronic device 1 (the electronic device can be a server device or a computer device or an integrated computer device), and the
而該應用單元122係包含:(1)一輸入模組1221,用以輸入一個或一個以上的圖片或是影片;(2)一物件偵測模組1222,係與該輸入模組1221相連接,用以將該輸入模組1221輸入之圖片或是影片進行物件偵測,以辨識出一個或多個特徵目標;(3)一人體偵測模組1223,係與該輸入模組1221相連接,用以將該輸入模組1221輸入之圖片或是影片進行人體偵測,以辨識出一個或多個人體輪廓,並對所辨識出的人體輪廓進行區分成數個身體部位區域;以及(4)一位置匹配模組1224,係與該物件偵測模組1222及該人體偵測模組1223相連接,用以判斷出該特徵目標是否位於該人體輪廓的任一或任多身體部位區域內。
And the
而上述所提及的「是否位於」,是包含了下列三種判斷: (1)能夠判斷「特徵目標沒有位於該人體輪廓的任一或任多身體部位區域」;(2)能夠判斷「特徵目標有位於該人體輪廓的任一或任多身體部位區域」;(3)能夠判斷「特徵目標是位於該人體輪廓的哪一個或哪多個身體部位區域內」;(4)而上述三種判斷模式能夠單一種模式進行判斷,或是任兩種或三種判斷同時進行。 The "whether it is located" mentioned above includes the following three judgments: (1) It can be judged that "the characteristic object is not located in any or any body part area of the human body contour"; (2) it can be judged that "the characteristic object has any or any body part area located in the human body contour"; (3 ) can judge "which one or more body parts of the body contour the characteristic target is located in"; (4) the above three judgment modes can be judged in a single mode, or any two or three judgments can be carried out simultaneously.
而當預設人體身上已經有特徵目標時(但本發明之技術亦能夠應用於特徵目標沒有位於人體身上的狀態下進行判斷),當要進行定位辨識,如第3A圖所示,於圖片2中具有一人體,該人體身上具有一傷口/傷疤,而判斷該傷口/傷疤是否位於人體哪個部位的判斷步驟如下:(1)於圖片2中,如第3B圖所示,進行辨識出一特徵目標21及一人體輪廓22出來,並能夠以數個人體座標點來分佈於人體輪廓內,而該人體輪廓內之身體部位區域係以數個人體座標點所形成的不同範圍區域來區分;(2)之後,如第3C圖所示,能夠找出該特徵目標21的中心點(以整張圖為準,找出該特徵目標21的中心點、並以整張圖為準定義出中心點的座標為(x1,y1)),並將該中心點的座標(x1,y1)與分佈於人體輪廓內的人體座標點進行匹配(中心點係能夠為幾何中心點、重量中心點或是相對中心點,如bounding box的正中心點、特徵物的幾何中心點、所有x座標平均值(或中位數)y座標平均值(或中位數)計算過的(x,y),或其他不限定的中心點定義方式);(3)而於匹配過程中能夠有以下三種模式:
And when there is already a characteristic target on the human body (but the technology of the present invention can also be applied to judge when the characteristic target is not located on the human body), when it is necessary to perform positioning recognition, as shown in Figure 3A, in Figure 2 There is a human body, the human body has a wound/scar, and the judgment steps for judging whether the wound/scar is located in which part of the human body are as follows: (1) In
(a)第一種模式,能夠依據該中心點與某一個範圍區域內之人體座標點之間的最短距離,進行篩選出一個最接近該中心點的人體座標點,以進而判斷出該特徵目標是否位於哪一個或哪多個的身體部位區域內(由第3C圖可知,中心點是最接近位或是相同於右手臂位置的範圍區域內的人體座標點,故判斷為該特徵目標21是否位於該右手臂位置上;若有兩個人體座標點(在右手臂位置與在身體軀幹位置)與中心點的距離都相同,則能夠判定特徵目標21是否位於該右手臂位置或是身體軀幹位置上)。
(a) The first mode can filter out a human body coordinate point closest to the center point based on the shortest distance between the center point and the human body coordinate point in a certain area, so as to determine the characteristic target Whether it is located in which or which multiple body parts areas (as can be seen from the 3C figure, the center point is the closest position or the human body coordinate point in the range area that is the same as the right arm position, so it is judged whether the
(b)第二種模式,能夠依據該中心點與該人體座標點之間的距離,進行排序出該中心點與不同人體座標點的遠近順序,並依據排序結果與不同人體座標點所屬的範圍區域,進行判斷出該特徵目標與不同身體部位區域的遠近排序關係,以進行提供該特徵目標位於不同身體區域的可能性判斷資訊(以第3C圖為例,則能夠列出右手臂位置是第一接近,而身體軀幹位置則是第二接近,且頭部位置則是第三接近的遠近順序)。 (b) The second mode can sort out the distance order between the center point and different human coordinate points according to the distance between the center point and the human body coordinate point, and according to the sorting result and the range to which different human body coordinate points belong area, to determine the far-short relationship between the feature target and different body parts, so as to provide the possibility judgment information of the feature target in different body areas (taking Figure 3C as an example, the position of the right arm can be listed as the first one close, while the body torso position is the second close, and the head position is the third close order of distance).
(c)第三種模式,也能夠根據閾值進行篩選,也就是於一定的人體座標點數量範圍內,篩選出有哪幾個範圍區域是接近中心點的。 (c) The third mode can also be screened according to the threshold value, that is, within a certain range of the number of human body coordinate points, it is screened out which ranges are close to the center point.
而當要進行另一種的定位辨識,如第4A圖所示,於圖片3中具有一人體,該人體身上具有一傷口/傷疤,而判斷該傷口/傷疤是否位於人體哪個部位的判斷步驟如下:(1)於圖片3中,如第4B圖所示,進行辨識出一特徵目標31及一人體輪廓32出來,並能夠以數個人體座標點來分佈於人體輪廓內,而該人體輪廓內
之身體部位區域係以數個人體座標點所形成的不同範圍區域來區分;(2)之後,如第4C圖所示,能夠找出該特徵目標21的該特徵目標形狀的特徵物座標範圍((x1,y1)(x2,y2)(x3,y3)(x4,y4)),並將分佈於該人體輪廓內的人體座標點與該特徵物座標範圍進行匹配;而該(3)而於匹配過程中能夠有以下兩種模式:
And when it is necessary to carry out another kind of positioning recognition, as shown in FIG. 4A, there is a human body in FIG. 3 with a wound/scar on the body, and the judgment steps for judging whether the wound/scar is located on which part of the human body are as follows: (1) In
(a)第一種模式,能夠依據分佈於該特徵物座標範圍內之某一個範圍區域內的最多人體座標點數量,進行篩選出於哪一個或哪多個身體部位區域內具有特徵目標;(a1)若有一組人體座標點(都在右手臂位置)落入特徵目標座標範圍內,則判斷為特徵目標是否位於該右手臂位置上;(a2)若有兩組人體座標點(在右手臂位置與在身體軀幹位置)落入特徵目標座標範圍內,如第4C圖所示,兩組的人體座標點數量相同或是接近,故能夠判斷為該特徵目標21是否位於該右手臂位置與身體軀幹位置之間。
(a) The first mode can be used to screen which one or more body part areas have characteristic targets according to the maximum number of human body coordinate points distributed in a certain area within the feature coordinate range; ( a1) If there is a group of human body coordinate points (all in the right arm position) falling within the coordinate range of the feature target, it is judged whether the feature target is located in the right arm position; (a2) if there are two sets of human body coordinate points (in the right arm position position and at the body trunk position) fall within the characteristic target coordinate range, as shown in Figure 4C, the number of human body coordinate points of the two groups is the same or close, so it can be judged whether the
(b)第二種模式,能夠依據分佈於該特徵物座標範圍內之人體座標點數量與所屬的範圍區域,進行排序出不同範圍區域於特徵物座標範圍內的分佈大小順序,並依據排序結果,進行判斷出該特徵目標位於不同身體部位區域的分佈大小關係,並提供該特徵目標位於不同身體區域的可能性判斷資訊;若是右手臂位置、身體軀幹位置與頭部位置之人體座標點數量(40,25,10)不一致,則能夠列出右手臂位置是人體座標點數量排第一,而身體軀幹位置則是排第二,且頭部位置則是排第三的遠近 順序)。 (b) The second mode can sort out the order of the distribution of different range areas within the coordinate range of the feature according to the number of human body coordinate points distributed within the coordinate range of the feature and the range area to which they belong, and according to the sorting result , to determine the distribution size relationship of the feature target located in different body parts, and provide the possibility judgment information of the feature target located in different body areas; if the number of human coordinate points of the right arm position, body trunk position and head position ( 40, 25, 10) are inconsistent, it can be listed that the position of the right arm is the first in the number of coordinate points of the human body, the position of the torso is the second, and the position of the head is the third. order).
另外,本案亦能夠不需區隔身體部位區域,而僅僅判斷特徵目標是否位於人體輪廓內,如第5圖所示,其處理步驟如下:(1)於一輸入圖片或是影片中,進行辨識出一特徵目標及一人體輪廓出來501;(2)定義出該特徵目標的座標與該人體輪廓內的座標502;(3)將該特徵目標的座標與該人體輪廓內的座標進行匹配,以判斷出該特徵目標是否位於該人體輪廓內503。
In addition, in this case, it is not necessary to separate the body parts, but only to determine whether the feature object is located in the contour of the human body, as shown in Figure 5, the processing steps are as follows: (1) Identify in an input image or video Go out a characteristic target and a human body contour and come out 501; (2) define the coordinate 502 in this characteristic target and this human body contour; (3) match the coordinate of this characteristic target and this human body contour, with It is judged whether the feature object is located within the
而辨識模式如下: And the recognition mode is as follows:
(1)能夠找出該特徵目標的中心點,並將該中心點的座標與分佈於人體輪廓內的人體座標點進行匹配,以找出與該中心點位置相同座標的人體座標點,並依據匹配所屬的範圍區域來決定該特徵目標的位置。 (1) It is possible to find out the center point of the characteristic target, and match the coordinates of the center point with the human body coordinate points distributed in the human body contour to find out the human body coordinate points with the same coordinates as the center point position, and according to Match the range area it belongs to to determine the location of the feature object.
(2)能夠找出該特徵目標形狀的特徵物座標範圍,並將分佈於該人體輪廓內的人體座標點與該特徵物座標範圍進行匹配,以找出哪幾個人體座標點是否位於該特徵物座標範圍內。 (2) It is possible to find out the feature coordinate range of the feature target shape, and match the human body coordinate points distributed in the human body outline with the feature coordinate range to find out which human body coordinate points are located in the feature within the range of object coordinates.
而於如此辨識目的下,該人體偵測模組1223僅需辨識出一個或多個人體輪廓及其座標,並再透過該位置匹配模組1224判斷出該特徵目標是否位於該人體輪廓內。
For the identification purpose, the human
本發明所提供之用於人體之特徵辨識方法及其系統,與其他習用技術相互比較時,其優點如下: The feature recognition method and system for the human body provided by the present invention, when compared with other conventional technologies, have the following advantages:
(1)本發明能夠用於辨識人體上的特徵物與所在位置,而當應用於醫療領域來講,除了能夠明確搜尋與記錄身體上傷口一類的位置之外,更能夠讓醫護人員能夠遠端了解傷患的狀態,因此對於醫療領域方面將是非常有 幫助。 (1) The present invention can be used to identify features and locations on the human body. When applied to the medical field, in addition to being able to clearly search and record the location of wounds on the body, it can also allow medical staff to remotely Know the status of the injured, so it will be very useful for the medical field help.
(2)本發明更能夠先進行辨識是否有衣服、並標示出衣服的範圍,之後進行特徵目標的辨識時,能夠排除衣服所標示的範圍,用以辨識出特徵目標是否位於衣服所標示的範圍內,用以避免因外套或是其他衣服而造成辨識的誤判。 (2) The present invention can first identify whether there are clothes and mark the range of the clothes, and then when identifying the characteristic target, it can exclude the range marked by the clothes to identify whether the characteristic target is located in the range marked by the clothes Inside, to avoid misjudgment caused by coats or other clothes.
本發明已透過上述之實施例揭露如上,然其並非用以限定本發明,任何熟悉此一技術領域具有通常知識者,在瞭解本發明前述的技術特徵及實施例,並在不脫離本發明之精神和範圍內,當可作些許之更動與潤飾,因此本發明之專利保護範圍須視本說明書所附之請求項所界定者為準。 The present invention has been disclosed above through the above-mentioned embodiments, but it is not intended to limit the present invention. Anyone who is familiar with this technical field and has common knowledge can understand the foregoing technical characteristics and embodiments of the present invention without departing from the present invention. Within the spirit and scope, some changes and modifications can be made, so the patent protection scope of the present invention must be defined by the claims attached to this specification.
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